From simulating complex phenomenon on supercomputers to storing information for modern 3D printing, the mathematics of data is a huge part of our world. A major tool to manipulate and study such data is linear algebra. This book introduces concepts of matrix algebra with an emphasis on applications, particularly in the fields of computer graphics and data mining. Readers will learn to make an image transparent, compress an image, and rotate a 3D wireframe model. In data mining, readers will use linear algebra to read zip codes on envelopes and encrypt sensitive information. The book details methods behind web search, utilized by such companies as Google, and algorithms for sports ranking, which have been applied to creating brackets for March Madness and predict outcomes in FIFA World Cup football. With a strong visual approach, the book can serve as a resource on its own or as a supplement to a course on linear algebra.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Tim Chartier is an Associate Professor in the Department of Mathematics and Computer Science at Davidson College.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Über den AutorrnrnTim Chartier is an Associate Professor in the Department of Mathematics and Computer Science at Davidson College.InhaltsverzeichnisrnrnPreface 1. X marks the spot 2. Entering the matrices 3. Sum matr. N° de réf. du vendeur 2146105105
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Taschenbuch. Etat : Neu. Neuware - From simulating complex phenomenon on supercomputers to storing information for modern 3D printing, the mathematics of data is a huge part of our world. A major tool to manipulate and study such data is linear algebra. This book introduces concepts of matrix algebra with an emphasis on applications, particularly in the fields of computer graphics and data mining. Readers will learn to make an image transparent, compress an image, and rotate a 3D wireframe model. In data mining, readers will use linear algebra to read zip codes on envelopes and encrypt sensitive information. The book details methods behind web search, utilized by such companies as Google, and algorithms for sports ranking, which have been applied to creating brackets for March Madness and predict outcomes in FIFA World Cup football. With a strong visual approach, the book can serve as a resource on its own or as a supplement to a course on linear algebra. N° de réf. du vendeur 9780883856499
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